I started my career in Data Science back in 2016. Here's a list of Books that I have read/referred ๐Ÿ“š ๐Ÿงต๐Ÿ‘‡๐Ÿป

This has been such an excellent year for software system design in ML. So, I compiled a list of some of my favorite papers ๐Ÿ“œin MLOps. Here are some of my favorite ones till dateโคต...

Looking for datasets to practice your Machine Learning skills ? Checkout these awesome resources which will basically cost you 0$

10 machine learning projects for beginners ๐Ÿ‘‡

Hyperparameters are numbers that the model cannot learn. So, you need to optimize them on your own. Finding the right hyperparameters is crucial for the viability of your ML model...

I've spent 100's of hours training computer vision models. I've revisited my code and notes from those projects and distilled them into a repeatable process that anyone can follow...

People never talk about the automatic retraining of machine learning models. And when they do, I hear a crucial misunderstanding of how this works: 1 of 7

In online courses, you are *given* the training data, and your job is to fit the best model. In real-world Machine Learning, no one gives you the training data. You need to genera...

Mastery over ๐‘ฌ๐’™๐’„๐’†๐’ always pays off ๐Ÿš€ Top free resources for ๐‘ซ๐’‚๐’•๐’‚ ๐‘จ๐’๐’‚๐’๐’š๐’•๐’Š๐’„๐’” using ๐‘ฌ๐’™๐’„๐’†๐’ ๐Ÿ“Š A Thread ๐Ÿงต๐Ÿ‘‡

My 22-year old coaching client landed a new-grad Machine Learning job at a NYC startup that pays $175k per year ๐ŸŽ‰ ($120k base, $40k stock, $15k annual bonus) Here's the 17 inter...

๐ŸฅทNew (1h55m) Lecture #5: "Becoming a Backprop Ninja" https://t.co/ekZgAQON3O We take the 2-layer MLP from last lecture and backprop through all of it manually: cross entropy loss,...

Starting with the version 1.6, XGBoost has been supporting multi-label regression and classification in the Python package. Internally the models are built one at a time, so the ma...

There are 1,000+ ways to start with deep learning. That's great, but most people are overwhelmed by so many choices. This book will take you 90% of the way. Ignore (almost) every...

Kornia is a Differentiable Library based on PyTorch. ๐Ÿ’ซ Build a ๐‘ญ๐’‚๐’„๐’† ๐‘ซ๐’†๐’•๐’†๐’„๐’•๐’๐’“ in just a few lines of Python code using Kornia. A Thread ๐Ÿงต ๐Ÿ‘‡ @kornia_foss https://t.co/KYZiIMWbP6

Decision trees based Machine Learning models are some of the best performant algorithms in eras of predictive capability, especially on small and heterogenous datasets. 1/4 https:...

Do you want to understand how Diffusion Models work? Stop searching on Google. Here you have one video, one article, and one paper that will tell you everything you need to know:...

ML Research of this week! 1) AlphaTensor @DeepMind can discover novel algorithms 2) Imagen Video, text-to-video generative model @GoogleAI 3) FILM can create slow-motion videos fr...

Learn Machine Learning by spending $0 Here are the top Machine Learning GitHub repositories, You can learn Machine Learning in Python for FREE A Thread ๐Ÿงต๐Ÿ‘‡

TOP 40 #Python Projects: Code, Solutions & Full Explanations! https://t.co/5FpgUmoJpv #5G #100DaysOfCode #AI #Analytics #ArtificialIntelligence #BigData #Coding #Data #DataScien...

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5 machine learning tricks to make your life easy. (A thread) ๐Ÿงต๐Ÿ‘‡

๐Ÿ“ฑ+๐Ÿค–๐Ÿง  Pixel 7 phones were announced this week and if you like Machine Learning, specifically on-device ML, this release brings a lot of cool features! These are my top 5 best ML f...

This past week I came across another paper that purports to get the SOTA for NNs for tabular data. Due to the extreme penchant for exaggeration in this community, I have given up o...

5 case studies of companies like Netflix, Amazon, Airbnb, Zillow and Lyft that will help you understand Data Science and Machine Learning better: